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DOI | 10.1111/risa.12775 |
Finely Resolved On-Road PM2.5 and Estimated Premature Mortality in Central North Carolina | |
Chang, Shih Ying1,2; Vizuete, William2; Serre, Marc2; Vennam, Lakshmi Pradeepa1,2; Omary, Mohammad1; Isakov, Vlad3; Breen, Michael3; Arunachalam, Saravanan1 | |
发表日期 | 2017-12-01 |
ISSN | 0272-4332 |
卷号 | 37期号:12页码:2420-2434 |
英文摘要 | To quantify the on-road PM2.5-related premature mortality at a national scale, previous approaches to estimate concentrations at a 12-km x 12-km or larger grid cell resolution may not fully characterize concentration hotspots that occur near roadways and thus the areas of highest risk. Spatially resolved concentration estimates from on-road emissions to capture these hotspots may improve characterization of the associated risk, but are rarely used for estimating premature mortality. In this study, we compared the on-road PM2.5-related premature mortality in central North Carolina with two different concentration estimation approaches(i) using the Community Multiscale Air Quality (CMAQ) model to model concentration at a coarser resolution of a 36-km x 36-km grid resolution, and (ii) using a hybrid of a Gaussian dispersion model, CMAQ, and a space-time interpolation technique to provide annual average PM2.5 concentrations at a Census-block level (approximate to 105,000 Census blocks). The hybrid modeling approach estimated 24% more on-road PM2.5-related premature mortality than CMAQ. The major difference is from the primary on-road PM2.5 where the hybrid approach estimated 2.5 times more primary on-road PM2.5-related premature mortality than CMAQ due to predicted exposure hotspots near roadways that coincide with high population areas. The results show that 72% of primary on-road PM2.5 premature mortality occurs within 1,000 m from roadways where 50% of the total population resides, highlighting the importance to characterize near-road primary PM2.5 and suggesting that previous studies may have underestimated premature mortality due to PM2.5 from traffic-related emissions. |
英文关键词 | Air pollution;fine-resolution modeling;PM2.5;R-LINE;traffic-related mortality |
语种 | 英语 |
WOS记录号 | WOS:000417252900012 |
来源期刊 | RISK ANALYSIS
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来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/58514 |
作者单位 | 1.Univ North Carolina Chapel Hill, Inst Environm, 100 Europa Dr,Suite 490, Chapel Hill, NC 27517 USA; 2.Univ North Carolina Chapel Hill, Dept Environm Sci & Engn, Chapel Hill, NC USA; 3.US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA |
推荐引用方式 GB/T 7714 | Chang, Shih Ying,Vizuete, William,Serre, Marc,et al. Finely Resolved On-Road PM2.5 and Estimated Premature Mortality in Central North Carolina[J]. 美国环保署,2017,37(12):2420-2434. |
APA | Chang, Shih Ying.,Vizuete, William.,Serre, Marc.,Vennam, Lakshmi Pradeepa.,Omary, Mohammad.,...&Arunachalam, Saravanan.(2017).Finely Resolved On-Road PM2.5 and Estimated Premature Mortality in Central North Carolina.RISK ANALYSIS,37(12),2420-2434. |
MLA | Chang, Shih Ying,et al."Finely Resolved On-Road PM2.5 and Estimated Premature Mortality in Central North Carolina".RISK ANALYSIS 37.12(2017):2420-2434. |
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